Partially covered face identification method based on data enhancement

Abstract

The invention discloses a partially covered face identification method based on data enhancement. By means of the artificial intelligence depth convolution neural network, the face alignment, facial detection, face feature extraction, and face matching are carried out for many times; through the principle of data enhancement, the pre-judgment of the covering type of the object covering a standard face, and the pre-judgment of the identity of the covered face, the two pre-judgment results are integrated to carry out the data enhancement, a covered face database is reconstructed by taking the standard face as the basis, and at the end, the original covered face and the reconstructed covered face are subjected to matching. The method solves the technical problems that the existing covered face identification method is easy to loss characteristic information due to the covering, is difficult to carry out the face identification, and low in identification accuracy, thereby achieving the technical effects of improving the face identification accuracy and efficiency.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a partially occluded face recognition method based on data enhancement. Background technique [0002] As an important machine vision technology, face recognition plays a major role in the field of artificial intelligence. In the actual process of face image processing, the occlusion of the face image, especially the occlusion of important features (such as eye occlusion caused by sunglasses, mouth occlusion caused by masks) occurs frequently. It is difficult to extract true and accurate feature descriptions from occluded face areas. The inaccuracy of feature descriptions greatly increases the difficulty of face recognition technology. If traditional machine vision recognition methods are used, the recognition accuracy will inevitably drop significantly. Face recognition technology needs to face technical difficulties such as occlusion, lighting, expression, post...

AI Technical Summary

Problems solved by technology

[0014] The present invention provides a partially occluded face recognition method based on data enhancement, which solves the problems in the existing occluded face recognition methods that the feature information is lost due to occlusion, the difficulty of face recognition increases, the recognition accuracy is low, and the recognition speed is slow technical problems, and achieved the technical effect of improving the accuracy and efficiency of occluded face recognition

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